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Associate Director, Quantitative Pharmacology and Pharmacometrics – Immuno-Oncology (QP2‑IO

Job in North Wales, Montgomery County, Pennsylvania, 19454, USA
Listing for: Merck
Full Time position
Listed on 2026-08-05
Job specializations:
  • Healthcare
    Clinical Research, Medical Science, Data Scientist
  • Research/Development
    Clinical Research, Medical Science, Research Scientist, Data Scientist
Job Description & How to Apply Below
Position: Associate Director, Quantitative Pharmacology and Pharmacometrics – Immuno-Oncology (QP2‑IO)
Location: North Wales

Associate Director Quantitative Pharmacology And Pharmacometrics – Immune/Oncology

Our company is a global healthcare leader with a diversified portfolio of prescription medicines, vaccines, and animal health products. We are recognized as an industry leader in immuno-oncology (IO) and vaccines discovery and development. For more than a century, our company has translated scientific innovation into medicines and vaccines that improve and save lives worldwide—anchored in ethical integrity, scientific excellence, and a clear mission to transform global health.

Our company is on a quest for cures and is committed to being the world's premier, most research-intensive biopharmaceutical company. Our Research & Development Division is a world-class scientific organization that brings together leading discovery capabilities and small molecule/biologics R&D expertise to create breakthrough science and redefine how we treat serious diseases.

Role Overview

We are seeking an experienced talented scientist to join the Quantitative Pharmacology and Pharmacometrics – Immune/Oncology (QP2-IO) team in the role of Associate Director. QP2-IO team is part of the Global Clinical Development organization and has oversight over drug development aspects related to clinical pharmacology and pharmacometrics of oncology drugs from post-PCC to registration.

Associate Directors are emerging leaders in the field of quantitative drug development, with a developing understanding of the strategic elements of drug development and effective communication skills. As a subject matter expert, the Associate Director within the QP2-IO Group will work closely with teams of highly collaborative, cross-functional scientists to contribute to development of novel chemical entities. They develop strategies for quantitative analyses (and commensurate experiments/trials) within and across development programs and/or functions.

They collaborate within QP2-IO and with other functional areas, as well as with external vendors and partners, creating an aligned, quantitative framework to impact strategies and decisions on drug development teams.

Primary Responsibilities:

  • Serving as an expert representative for QP2-IO on Oncology clinical development teams.
  • Framing critical questions for optimizing model-based analyses on programs.
  • Developing and executing model-based analyses including translational PK/PD approaches, population pharmacokinetic models, exposure-response models, clinical trial simulation, disease progression models, quantitative systems pharmacology (QSP) modeling, comparator modeling, thereby strengthening pharmacometrics capabilities on a continuous basis in decision making and driving pipeline impact.
  • Strategizing and executing modeling of tumor size and survival endpoints including proportional hazards models.
  • Maintaining a comprehensive understanding of global regulatory expectations for small molecules and biologics in Oncology, authoring regulatory documents (investigational new drugs/INDs, clinical study reports (CSRs), clinical trial applications (CTDs)), and representing QP2-IO at regulatory meetings.
Minimum Education
  • Ph.D. with at least 3 years of experience

OR

  • PharmD or MS or equivalent degree with preferably 5-7 years of relevant experience, where "experience" means having a record of increasing responsibility and independence in a similar role in pharmaceutical drug development.
Required Experience and Skills
  • Demonstrated impactful experience with applications of pharmacometrics methods.
  • Skills in experimental design, mathematical problem solving, critical data analysis/interpretation, and statistics.
  • Proficiency in R, NONMEM or other similar programming language.
  • Professional working proficiency in written and verbal communication.
Position Requirements
10+ Years work experience
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